Calibration Method for Linear Array Camera of Intersection Measurement System

Pei, 吴培 Wu; Yan-jie, 王延杰 Wang; Hong-hai, 孙宏海 Sun; Zhi-jun, 姚志军 Yao; Zhi-guo, 武治国 Wu

doi:10.3788/gzxb20164506.0612003

Cited by 3 publications

(6 citation statements)

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“…Based on years of research on distortion in line array cameras, it is known that distortion can be represented by multiple polynomials, including radial distortion, decentering distortion, thin prism distortion [13], and tilt distortion. Assuming proper assembly of the line array camera and considering only one direction of distortion, typically excluding third-order and higher-order distortions [14], the distortion model for a line array camera can be expressed as:…”

Section: Calibration Methodsmentioning

confidence: 99%

“…This measurement plane is established for calibration purposes using the dual theodolite measurement system, as depicted in Figure 4 below. The traditional dual theodolite measurement method is a commonly used and mature non-contact measurement technique that employs the principle of front-space measurement [14]. After precise mutual sighting between two theodolites, a standard ruler of known length is measured.…”

Section: Calibration Processmentioning

confidence: 99%

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Construction and error analysis of dual linear array camera target measurement system in long-range target range

liu,

Feng,

Zhang

2024

Speckle 2023: VIII International Conference on Speckle Metrology

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In order to achieve precision in the long-distance target track measurement of projectile trajectories, high accuracy of coordinate outputs from multiple measurement planes in the target track space is required. The dual-line array camera collimation measurement system not only ensures the accuracy of output coordinates but also simplifies the calibration process. Through a comprehensive analysis of the dual-line array camera collimation measurement system, including the principle of intersection measurement, calibration of the line array camera, and error analysis of the entire measurement system, theoretical and experimental foundations are provided for the overall system design. By analyzing the principle of intersection measurement, deriving the projectile coordinate formula, and analyzing various parameters based on the coordinate formula, the calibration method for the camera is designed. This calibration method only requires calibrating the distortion coefficients, optical axis inclination angle, and camera principal point, making the calibration process simple and efficient. After calibration, the entire intersection measurement system was subjected to simulated error analysis using MATLAB software. This analysis aimed to comprehend the magnitude and trends of error influences from various factors on the measurement of impact point coordinates, as well as the distribution of errors within the 3m×3m measurement plane. Experimental results reveal that the constructed dual-line array camera intersection measurement system performs with an x-direction accuracy better than 3.8mm and a y-direction accuracy better than 3.0mm on the 3m×3m measurement plane. The experimental coordinate measurement errors align with the results obtained from theoretical analysis.

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Section: Calibration Methodsmentioning

confidence: 99%

Section: Calibration Processmentioning

confidence: 99%

Construction and error analysis of dual linear array camera target measurement system in long-range target range

liu,

Feng,

Zhang

2024

Speckle 2023: VIII International Conference on Speckle Metrology

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“…And the effort distance of radar in one direction is closely related with parameters such as radar's effect radiation power, the sectional area of target radar and jammer's effect radiation power. The interference function of radar under interference is given as formula (1) [5] :…”

Section: Interference Functionmentioning

confidence: 99%

“…is the gain value of radar antenna in the direction of jammer calculated by (2) [5] Applied Mechanics and Materials Vols. 536-537 761…”

Section: Interference Functionmentioning

confidence: 99%

“…Covering network deployment optimization problem is an important issue for the wireless sensor networks [1] , mobile phone base station network [2] , netted radar [3] , sonar network [4] and fire networks [5] and other networks. The wireless sensor networks, mobile phone base station network, sensor nodes in the radar network, base station nodes, as well as radar nodes all have electromagnetic radiation.…”

Section: Introductionmentioning

confidence: 99%

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The Overlay Deployment Model under Interference Based on Marginal Fitting

Lin¹

2014

AMM

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Under the condition of interference, when to optimize the network deployment with the energy of the radiation characteristics of node, it is significant to improve the efficiency of the objective function evaluation.The overlap deployment model based on the compression projection is put forward in this paper, including the projection grid model based on the margin fitting, and the fusion boundary generation based on the projection grid, measurement of covered area and overlap coefficient evaluation algorithm to provide the efficient algorithm for the calculation of optimization goals such as the integration area, cover index and overlap coefficient . It changed the past calculation mode, which is random and extensive, as Monte Carlo sampling and the physical grid statistics method. The algorithm analysis and experiments showed that, the overlap deployment model based on the compression projection, compared with the previous model, had the characteristics of high precision and low-power, it can complete the calculation three indicators of the integration area,the covering index and overlap index with the accuracy of up to 99%.

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